AI in Customer Support: Enterprise Guide to Leveraging AI in 2025

"We see our customers as invited guests to a party, and we are the hosts. It’s our job every day to make every important aspect of the customer experience a little bit better.” - Jeff Bezos

‍

Customer support is no longer a cost center, it’s a strategic lever for growth integrated correctly with AI-powered automation that turns interactions into actionable insights.

This Year, it is estimated that 85% of customer interactions, including calls, chats, and emails, will be automated by AI. Companies not leveraging this technology may soon find themselves at a disadvantage.

Moreover, among those embracing Gen AI and Agentic AI, nearly half expect to cut costs by over 10% — equating to potential savings of $1 billion for a company generating $10 billion in revenue.

In this blog, we cut through the noise to give you the Enterprise-focused roadmap that harnesses AI’s potential to drive efficiency at scale.

What is Customer Support?

Customer support is the process of helping customers resolve issues and answer questions to ensure a positive experience with a brand.  

Traditionally, it relied on human agents handling phone calls and emails, but today it's being redefined by advanced technologies like Artificial Intelligence, Machine Learning and Natural Language Processing.

Let us have a look at how AI is automating Customer Support for enterprise.

How can AI automate customer support?

Customer support plays a crucial role in customer loyalty, with 78% of consumers making their decisions based on the level of service they receive.

AI in customer service now drives this paradigm shift, transforming reactive support into proactive with real-time engagement software.  

By integrating machine learning and AI-driven automation, enterprises like Rezo.ai are redefining AI in Customer Service dynamics—deploying tools such as conversational chatbots, sentiment-aware voice-bots, and intent prediction models.  

These systems resolve major routine inquiries instantly while enabling 24/7 multilingual support across 20+ languages.

Top Statistics for AI powered customer support in 2025

When customers experience helpful support, they don’t just stick around—they become passionate advocates who naturally spread positive word-of-mouth about your brand.

Here are some customer support statistics highlighting why AI can be the game-changer for your business performance that enterprise leaders should pay attention to:  

• 64% of customers want to shop with companies that can meet their needs in real-time. (Salesforce)

• 80% of customer service organizations will use generative AI to enhance the customer support experience. (Gartner)

• AI-driven chatbots could handle around 70% of all customer interactions, delivering rapid and accurate responses. (Research Gate)

• By 2026, deploying conversational AI in contact centers is expected to cut agent labor costs by around $80 billion. (Gartner)

• Adopting AI in customer service can reduce operational costs by 35% and boost revenue by 32%. (Mckinsey)

Top 4 benefits of Integrating AI in Customer Support for Enterprises

Today’s digital-first brands have started to put AI at the center of how they handle customer support and improve overall experience.  

While 26% are still in the process of transitioning, here's your chance to get ahead by understanding the tangible benefits AI can bring.  

Here are the top advantages of incorporating AI into your call center operations:

• AI Voice Bot and Chat Bot

One of the top benefits of integrating AI into your call center operations is the deployment of intelligent voice bots and chat bots. These digital assistants use natural language processing to understand and respond to customer queries in a conversational, human-like manner.  

They work round the clock, ensuring that customers receive instant, consistent support no matter when they reach out.  

By handling routine questions and tasks automatically, these bots free up human agents to focus on more complex issues, ultimately reducing operational costs while enhancing the overall customer experience. ‍

• Automated Ticket Categorization

Automated ticket categorization leverages AI to transform how support requests are managed. Instead of manually reviewing each ticket, advanced natural language processing algorithms analyze the content, identify key issues, and automatically assign the ticket to the appropriate category or team.  

Over time, as the system learns from past interactions, its accuracy continues to improve, enabling faster and more precise routing of tickets. This means critical issues are prioritized and handled by the right experts without delay.  

Ultimately, automated ticket categorization not only reduces the burden on human agents but also accelerates resolution times, leading to higher customer satisfaction and significant cost savings for the business.

• Detailed text analysis for insights

AI-powered text analysis helps businesses extract meaningful insights from customer interactions across multiple channels. By automatically categorizing and analyzing keywords, AI can identify trends, detect emerging concerns, and highlight opportunities for improvement.

For example, AI can track:
✅ Complaints: Identifying recurring issues and negative sentiment to improve customer satisfaction.
✅ Product Questions: Recognizing common queries to enhance self-service options and FAQs.
✅ Competitor Mentions: Monitoring discussions about competitors for market intelligence.

• Multilingual Support

Human agents simply can’t speak every language, and it's not very cost-effective for a company to hire a team that covers every tongue.  

By leveraging natural language processing (NLP), AI-powered contact centers can break down language barriers—understanding and responding in multiple languages effortlessly.

This technology allows businesses to serve a global customer base without needing a vast multilingual team. Plus, NLP can translate interactions in real-time, ensuring smooth, inclusive communication between customers and agents regardless of language differences.

Conclusion: The Future of Customer Support

In conclusion, integrating AI into your customer support isn’t just about adopting new technology—it’s about fundamentally transforming your service model to create lasting customer relationships and drive business growth.  

With forecasts indicating that up to 80% of interactions could be automated by 2026 and significant savings and revenue boosts on the horizon, the time to act is now.  

For enterprises looking to harness these benefits, Rezo.ai offers a powerful solution. By delivering pre-trained, intelligent voice bots and chatbots that handle customer queries with human-like precision, Rezo.ai empowers your support teams to focus on what truly matters—delivering exceptional customer experiences. Embrace this AI revolution and let Rezo.ai be your partner in building a smarter, more responsive future

‍